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Research Paper | Computer Science and Engineering | Volume 15 Issue 4, April 2026 | Pages: 393 - 396 | India
Integrating Vedic Knowledge Systems into Data Science: A Framework for Algorithmic Design and AI Optimization Inspired by Ancient Computational Principles
Abstract: The rapid evolution of data science and artificial intelligence has intensified the search for novel algorithmic paradigms capable of improving computational efficiency, interpretability, and scalability. While contemporary AI systems rely predominantly on modern mathematical frameworks, ancient knowledge systems- particularly those embedded within the Vedic intellectual tradition- contain algorithmic principles that emphasize computational elegance, pattern recognition, and rule-based reasoning. This research proposes a conceptual and methodological framework for integrating Vedic knowledge systems into modern data science architectures. Drawing upon the algorithmic constructs of Vedic mathematics and the logical structure of classical Indian epistemology, the study introduces a novel model termed Vedic-Inspired Computational Intelligence Framework (VICIF). This framework synthesizes ancient computational heuristics with modern machine learning pipelines, enabling the design of optimized algorithms for feature extraction, numerical computation, and AI model training. Through theoretical analysis and conceptual modeling, the study demonstrates that Vedic algorithmic principles such as Urdhva-Tiryakbhyam, Nikhilam, and recursive sutra-based reasoning can be translated into computational strategies compatible with parallel processing, heuristic optimization, and explainable artificial intelligence. The research further argues that the integration of traditional knowledge systems into modern computational science enriches algorithmic innovation and contributes to a culturally inclusive scientific paradigm. The proposed framework opens new interdisciplinary avenues connecting computational intelligence, data science, and ancient scientific traditions.
Keywords: Vedic knowledge systems, artificial intelligence, data science, algorithmic optimization, Vedic mathematics, computational intelligence
How to Cite?: Dr. Praveen Kumar Shrivastava, Dr. Kirti Jain, "Integrating Vedic Knowledge Systems into Data Science: A Framework for Algorithmic Design and AI Optimization Inspired by Ancient Computational Principles", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 393-396, https://www.ijsr.net/getabstract.php?paperid=SR26331144808, DOI: https://dx.dx.doi.org/10.21275/SR26331144808